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Titlebook: Intelligent Data analysis and its Applications, Volume I; Proceeding of the Fi Jeng-Shyang Pan,Vaclav Snasel,Shyue-Liang Wang Conference pr

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41#
發(fā)表于 2025-3-28 15:48:21 | 只看該作者
Conference proceedings 2014 Shenzhen Graduate School of Harbin Institute of Technology and was held in Shenzhen City on June 13-15, 2014. ECC 2014 was technically co-sponsored by Shenzhen Municipal People’s Government, IEEE Signal Processing Society, Machine Intelligence Research Labs, VSB-Technical University of Ostrava (Cze
42#
發(fā)表于 2025-3-28 19:13:52 | 只看該作者
2194-5357 ence Research Labs, VSB-Technical University of Ostrava (Czech Republic), National Kaohsiung University of Applied Sciences (Taiwan), and Secure E-commerce Transactions (Shenzhen) Engineering Laboratory of Shenzhen Institute of Standards and Technology..978-3-319-07775-8978-3-319-07776-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
43#
發(fā)表于 2025-3-29 01:55:59 | 只看該作者
44#
發(fā)表于 2025-3-29 03:42:01 | 只看該作者
45#
發(fā)表于 2025-3-29 10:16:10 | 只看該作者
46#
發(fā)表于 2025-3-29 15:11:17 | 只看該作者
ICISLM: Design of an Integrated Cloud Information System for Logistic Management Based on Web Servere a single system that can satisfy warehouse management, logistics monitoring, and downstream customer needs. A workflow dispatch mechanism was designed to dynamically dispatch the services host and to stabilize system operation. A case study is provided to verify the function of logistics service pools.
47#
發(fā)表于 2025-3-29 16:36:02 | 只看該作者
An Incremental Algorithm for Maintaining the Built FUSP Trees Based on the Pre-large ConceptsWhen the number of inserted sequences is smaller than the safety bound of the pre-large concepts, better results can be obtained by the proposed incremental algorithm for sequence insertion in dynamic databases.
48#
發(fā)表于 2025-3-29 22:19:16 | 只看該作者
49#
發(fā)表于 2025-3-30 00:39:56 | 只看該作者
Deterministic Data Sampling Based on Neighborhood Analysists. The properties of the representative sample show that the presented approach maintains very well internal data structures (e.g. clusters and density). The key technical parameters of the approach are low complexity and high scalability.
50#
發(fā)表于 2025-3-30 06:37:45 | 只看該作者
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